已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Serum S100B protein after electroconvulsive therapy in patients with depression

电休克疗法 萧条(经济学) 医学 精神科 内科学 心理学 精神分裂症(面向对象编程) 经济 宏观经济学
作者
Krzysztof Gbyl,Niklas Rye Jørgensen,Poul Videbech
出处
期刊:Acta Neuropsychiatrica [Cambridge University Press]
卷期号:34 (5): 269-275 被引量:12
标识
DOI:10.1017/neu.2022.8
摘要

Objective: S100B is a glial cell protein with bimodal function. In low concentrations, it exerts neurotrophic effects, but higher levels reflect neuronal distress. Recent research suggests that this molecule may be a biomarker of response to electroconvulsive therapy (ECT). We examined the effect of ECT on serum S100B and its utility as 1) a biomarker of a depressive state and 2) a predictor of ECT response. We also wanted to ensure that ECT does not cause a marked serum S100B-elevation, indicating neural distress. Methods: We measured serum S100B in 22 in-patients treated with ECT due to depression. Depression severity was assessed using 17-item Hamilton Rating Scale for Depression (HAMD-17). The data were collected before an ECT series, within one week after the series (post-ECT), and at a six-month follow-up. Changes in serum S100B and clinical outcomes were tested using a linear mixed model. A relationship between serum S100B and the clinical outcomes was examined using Spearman and partial correlation. Results: Serum S100B did not change significantly immediately after an ECT series or six months later. The post-ECT serum S100B-change was not associated with the clinical effect (rho=.14, n=22, p=.54). The baseline serum S100B did not predict the clinical effect when controlling for age (r =.02, n=22, df=19, p=.92). Conclusion: The study neither supports serum S100B as a state marker of depression nor a predictor of ECT response. No evidence for ECT-related neural distress was found.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
xxxxxxxxx完成签到 ,获得积分10
刚刚
3秒前
3秒前
灵巧青槐完成签到,获得积分10
4秒前
勤奋的翠绿完成签到,获得积分10
4秒前
99668完成签到,获得积分0
6秒前
青椒炒肉不要青椒完成签到,获得积分10
6秒前
睢先生发布了新的文献求助10
7秒前
12秒前
吴隐鑫发布了新的文献求助10
13秒前
希望天下0贩的0应助Chen采纳,获得10
14秒前
15秒前
yjy完成签到 ,获得积分10
18秒前
Lucas应助momobu采纳,获得10
19秒前
万能图书馆应助杨海洋采纳,获得10
19秒前
19秒前
yuci发布了新的文献求助10
21秒前
lian完成签到 ,获得积分10
22秒前
aweier完成签到,获得积分10
24秒前
祉渝完成签到,获得积分10
24秒前
wry发布了新的文献求助30
24秒前
26秒前
苏苏完成签到,获得积分10
28秒前
29秒前
29秒前
灰太狼大王完成签到 ,获得积分10
30秒前
molu发布了新的文献求助10
30秒前
老王完成签到 ,获得积分10
31秒前
31秒前
LH发布了新的文献求助10
31秒前
小蘑菇应助阳大哥采纳,获得10
34秒前
lll完成签到,获得积分10
35秒前
haha发布了新的文献求助10
38秒前
睢先生发布了新的文献求助10
39秒前
39秒前
39秒前
易水寒天完成签到,获得积分10
43秒前
在水一方应助小王采纳,获得10
43秒前
阳光蚂蚁完成签到,获得积分10
44秒前
彭于晏应助乎乎采纳,获得10
44秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
煤炭地下气化渗流燃烧方法的研究 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7632784
求助须知:如何正确求助?哪些是违规求助? 9207169
关于积分的说明 19746832
捐赠科研通 7202008
什么是DOI,文献DOI怎么找? 3274884
关于科研通互助平台的介绍 2436787
邀请新用户注册赠送积分活动 2271669